warp.randn

warp.randn(state: uint32) → float

Kernel

Python

Sample the standard normal (Gaussian) distribution with mean 0 and variance 1.

Uses the Box-Muller transform, consuming two uniform draws. In a kernel, this advances state in place; called from the Python scope, it does not modify state, so repeated calls with the same state return the same value (see rand_init()). For a general normal, scale and shift the result: mean + stddev * wp.randn(state).